Table 1 The medians and 95% confidence intervals for all adopted metrics are reported and out-of-bag (OOB) performances of models with and without spatial cross-validation (CV) are compared.

From: Explainable artificial intelligence (XAI) detects wildfire occurrence in the Mediterranean countries of Southern Europe

Metric (%)

OOB Performance

Spatial CV

Acc

72.9 (72.1, 73.3)

69.7 (63.6, 75.7)

F1

65.1 (64.3, 65.7)

62.0 (53.2, 69.0)

Sens

82.5 (81.8, 83.6)

78.7 (69.9, 87.8)

Prec

53.7 (52.8, 54.5)

50.9 (43.0, 59.1)

Spec

68.7 (67.6, 69.2)

69.2 (48.9, 76.0)

AUC

84.1 (83.8, 84.5)

81.3 (76.0, 84.8)

  1. We evaluated our machine learning models in terms of accuracy (Acc), F1 score, sensitivity (Sens), precision (Prec), specificity (Spec) and area under the ROC curve (AUC).
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